微信扫一扫bio-crispr-screens-hit-calling — upstream index
This is an index-only record created by OpenScientificSkills. It contains an attributed catalog summary, but does not bundle, mirror, or redistribute the upstream Skill instructions, code, or assets.
What this Skill is for
This indexed Skill is intended for research work involving bio crispr screens hit calling. It helps researchers discover the upstream project that may provide instructions, templates, scripts, or workflow guidance for that task. Exact capabilities, requirements, and behavior must be confirmed in the canonical repository because they can change upstream.
Attributed upstream catalog summary:
Statistical methods for calling hits in CRISPR screens. Covers MAGeCK, BAGEL2, drugZ, and custom approaches for identifying essential and resistance genes. Use when identifying significant genes from screen count data after QC passes.
Canonical source
- Upstream author or maintainer:
JINAILAB - Repository: https://github.com/JINAILAB/bioclinkit
- Upstream Skill path:
plugins/bioeng-synbio/skills/bio-crispr-screens-hit-calling/SKILL.md - Upstream license status: not verified
The CC0-1.0 value on this ModelScope entry applies only to the newly written
index structure and explanatory text. It does not apply to the attributed
upstream summary and does not grant any license to the upstream repository.
Before use
Open the canonical repository, review its current license, security posture, dependencies, and instructions, and obtain any permission required by the upstream author. Always treat the upstream repository as the source of truth.